# Jack Kendall

> Jack Kendall is a Rain AI co-founder, inventor and researcher working across physics, neuroscience and artificial intelligence. He served as Rain’s CTO and later CEO. His May 2026 paper lists a Zyphra affiliation and extends equilibrium propagation to a broader class of dynamical systems. His work explores learning algorithms and physical computing architectures together.

- **Role:** Researcher at Zyphra; co-founder of Rain AI
- **Organizations:** Zyphra, Rain AI / Rain Neuromorphics, University of Florida Nino Research Group
- **Education:** Bachelor’s studies in Chemical Engineering and Physics, University of Florida, Y Combinator
- **Known for:** Inventor of US10430493B1, Systems and methods for efficient matrix multiplication., Co-founder of Rain Neuromorphics, a 2017 Cade Museum Prize finalist., Co-author of a 2020 Applied Physics Reviews article on brain-inspired computing.

## Career timeline

- **2012–2017** — Worked in the Nino Research Group at the University of Florida.
- **2013** — Chemical Engineering Co-Op at Ascend Performance Materials.
- **2017** — Rain Neuromorphics was a Cade Museum Prize finalist; UF identified Kendall and professor Juan Nino as its founders.
- **2018** — Spoke at TEDxUF; Rain participated in Y Combinator.
- **2019** — US10430493B1, naming Kendall as inventor, was granted on October 1.
- **2020** — Co-authored The building blocks of a brain-inspired computer with Suhas Kumar.
- **2022** — Rain announced a $25 million Series A; Kendall was co-founder and CTO.
- **2025** — Became Rain CEO by May 2025 reporting; exact appointment date not established.
- **2026** — Published a Zyphra-affiliated paper on equilibrium propagation and the Fitzhugh-Nagumo model.

## Achievements

- Inventor of US10430493B1, Systems and methods for efficient matrix multiplication.
- Co-founder of Rain Neuromorphics, a 2017 Cade Museum Prize finalist.
- Co-author of a 2020 Applied Physics Reviews article on brain-inspired computing.
- Led a Rain AI UK project in ARIA’s Scaling Compute programme.
- Author of the May 2026 preprint Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model.

## Latest updates

- **2026-05** — Zyphra published Kendall’s research article on May 22; the associated preprint was submitted May 20 and notes that the work was performed primarily at Rain Neuromorphics.
- **2025-10** — ARIA described a Rain AI UK project led by Kendall on energy minimisation in coupled resistive networks.
- **2025-10** — The public record for US10430493B1 records assignment from Rain to OpenAI Opco, effective October 21 and recorded October 23.

## Links

- Website: https://rain.ai
- LinkedIn: https://www.linkedin.com/in/jack-kendall-21072887/

---

Profile page: https://yespress.io/jack-kendall
Published by YesPress — https://yespress.io
Last updated: 2026-10-24